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Extracting text from PDF documents is a common task in various fields, including data analysis, natural language processing, and information retrieval. Python, provides a powerful PDF library that simplifies the process of extracting text from PDFs.

Creating PDF documents from templates is a common requirement in many Java applications. With the help of a Java PDF library, developers can effortlessly generate PDF files based on predefined templates.

Extracting tables from PDFs is a vital requirement for many data-centric applications. The Python PDF Library, in particular, offers developers a approach to extracting tables from PDFs, enabling easy integration and analysis of tabular data.

The NodeJS PDF Library provides a robust solution for downloading PDFs from URLs within a Node.js environment. By leveraging this library, developers can enhance their applications with the capability to fetch PDFs dynamically from external sources.

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Get pictures and photos from multiple Word files quickly. This application will scan your docs and save the embedded graphics found within to external bitmap files.

Get pictures and photos from multiple Excel files quickly. This application will scan your xls files and save the embedded graphics found within to external bitmap files.

Get pictures and photos from multiple Powerpoint files quickly. This application will scan your ppt files and save the embedded graphics found within to external bitmap files.

Extract email addresses from internet websites. Load a list of web addresses and the program will extract the email addresses automatically. Duplicates are automatically removed at the end of extraction.